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Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spi...

Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2581615804

Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations

About this item

Full title

Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations

Publisher

New York: Elsevier Inc

Journal title

Modern pathology, 2021-11, Vol.34 (11), p.2028-2035

Language

English

Formats

Publication information

Publisher

New York: Elsevier Inc

More information

Scope and Contents

Contents

Sarcomatoid mesothelioma is an aggressive malignancy that can be challenging to distinguish from benign spindle cell mesothelial proliferations based on biopsy, and this distinction is crucial to patient treatment and prognosis. A novel deep learning based classifier may be able to aid pathologists in making this critical diagnostic distinction. Sp...

Alternative Titles

Full title

Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2581615804

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2581615804

Other Identifiers

ISSN

0893-3952

E-ISSN

1530-0285

DOI

10.1038/s41379-021-00850-6

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